metadata
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
tags:
- generated_from_keras_callback
model-index:
- name: chosenone80/model_save
results: []
chosenone80/model_save
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-ca on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0906
- Validation Loss: 0.1264
- Train Precision: 0.9146
- Train Recall: 0.9154
- Train F1: 0.9150
- Train Accuracy: 0.9657
- Epoch: 2
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 48420, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.1373 | 0.1417 | 0.9105 | 0.9060 | 0.9083 | 0.9628 | 0 |
| 0.1023 | 0.1244 | 0.9116 | 0.9136 | 0.9126 | 0.9643 | 1 |
| 0.0906 | 0.1264 | 0.9146 | 0.9154 | 0.9150 | 0.9657 | 2 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0